5 Pitfalls to avoid when partnering with startups
Leaders in enterprise IT are forming partnerships with startups to increase their companies’ ability to innovate and respond quickly to market changes. Working in tandem with new ventures can jumpstart the innovation process, give CIOs access to scarce talent in cutting-edge fields, and complete digital transformation plans. However, it is not enough for IT managers to recognize the value of the competitive advantage that startups can provide; they must also secure the safety and security of their businesses. In the absence of a due diligence process, an enterprise could face third-party risks. Let’s look at some of the common traps IT leaders fall to while partnering with startups and how to steer clear of them. Using technological criteria alone to choose startups A good multistage due diligence process involving the startup’s founders, customers,platform, among others, is a must while shortlisting a startup. There may be instances of intellectual property (IP) infringement or pending claims against a startup, which might also affect an enterprise because it employs the same IP. Disregarding the possibility of volatility in startup partnerships It’s also possible for a startup to increase the portfolio’s volatility by bringing in new partners. For instance, a new business might run successfully for the first couple of years before finally succumbing to the recession. CIOs can protect themselves from these types of threats by making the most of their company’s reputation in the market. Lack of appreciation for startup employees Startups frequently rely on a small number of high achievers, who may excel in either sales or technology. There’s a talent risk for the company if these key people quit. The greatest strategy is establishing an open line of communication with the startup and maintaining complete honesty throughout. Assuming cybersecurity Startups are becoming top targets for organized crime as they are perceived as lacking robust defenses against hackers. Only 27% of startups have a dedicated security team or person, according to Vanta’s State of Startup Security 2022 report. 75% of respondents believed they should enhance their security measures. At the end of the day, it is all about striking a balance between risk and control, says Rabra. Neglecting cultural difficulties Enterprises have inflated or unreasonable expectations of startups when it comes to the degree of customization that can be included into a given project. When compared to a startup, a major corporation moves at its own pace. The clarity of the corporate’s dos and don’ts offers the startup more strength. Before outsourcing to a startup, businesses should have a firm grasp on what it is they hope to achieve and how the company will help them achieve their goals. Source: CIO 🔥 Trending Stories 14 Tech Leaders Offer Their Best Pieces of Advice to New Entrepreneurs Ultimate Guide For Hiring On-demand Developers For Your Startup Top 25 Digital Transformation Influencers You Need to Follow
16 Ways tech leaders keep their teams up to date on industry news
Forbes Technology Council members share how they keep their teams up to date on industry news. 16 members of Forbes Technology Council detail the ways they ensure their teams stay ahead of the game in terms of new technology and trends. Create a culture of learning by ensuring your team members explore cutting-edge, relevant tech trends. Source: Forbes 🔥 Trending Stories 14 Tech Leaders Offer Their Best Pieces of Advice to New Entrepreneurs Ultimate Guide For Hiring On-demand Developers For Your Startup Top 25 Digital Transformation Influencers You Need to Follow
5 Operations every cloud architect should automate
When it comes to the development of cutting-edge business applications, the cloud can be a huge help. When planning, developing, and releasing cloud-hosted apps, here are five tasks that every cloud architect should try to automate. 1. Scaling Automated scaling is the foundation of cloud computing. Auto-scaling server resources or elastic scaling in cloud-native services like Amazon S3 and DynamoDB are vital to the cloud. One of the main reasons people move to the cloud is to build scalable infrastructure. The next automation is launching additional server instances quickly and painlessly, which is needed for automated scalability. 2. Server provisioning Cloud automation provides a fully operating server instance with all necessary applications and services in minutes. Server provisioning automates auto-scaling and self-healing infrastructures. Automating the replacement of a failing or compromised server instance affects cloud problem solving. This functionality improves MTTR for many types of issues.Automated server provisioning works similarly for virtual machine instances in compute services like Amazon EC2 and container instances in Kubernetes environments like Google Kubernetes Engine. Automation speeds up and optimizes server instance launching, scaling, and maintenance, which most cloud-enabled applications require. 3. Infrastructure building Automatically deploying servers won’t launch your cloud application. Load balancers, firewalls, network segments, databases, and other application services like queues and caches must also be provisioned. Before your application works, all supporting infrastructure must be set up, configured, and connected.In the cloud, infrastructure as code (IaC) allows API calls to provision application infrastructure. IaC lets you write source code, usually JSON or YAML, to set up your infrastructure (such as Git). Next, you use a tool to automatically provision, configure, and link your infrastructure components into a working network. Cloud architects should use IaC tools to develop secure, repeatable infrastructure provisioning cloud patterns. The advantages are incalculable. 4. Code deployment Automated code deployment pipelines are not cloud-specific. However, cloud architects heavily rely on automated code deployments because they are a natural extension of other automation. The CI/CD pipeline automates code deployment. CI/CD, or continuous integration/continuous delivery, is a model that automatically deploys code from a software version control system to production applications (again, such as Git).Automated code deployments are possible using many tools. The list includes Jenkins, Bamboo, GitLab, CircleCI, and AWS CodeDeploy. Each functions differently, and the cloud architect must choose the correct automation strategy to satisfy the development organization and business’s demands. However, most complex cloud-architected applications use automated code deployment. Yours should. 5. Native cloud services Many cloud services provide automated dynamic scalability, which is sometimes neglected. Amazon Simple Queue Service, Amazon S3, and Amazon DynamoDB use automation to scale dynamic applications. Cloud architects choose S3 over local drive storage on compute instances because it is straightforward, safe, reliable, quick to integrate, and autonomous. Many additional public cloud services are similar. You benefit from powerful background automation by using them.Automation defines the cloud. Many run their cloud apps without automation. Automation improves consistency, dependability, security, scalability, and business response. Lifting and moving an on-premises application to the cloud “as is” is a reasonably easy and uncomplicated migration, and often does not need a qualified cloud architect to perform. But such an application lacks most cloud benefits. A cloud architect is needed to build a cloud-enabled app that takes advantage of the cloud’s features. Most cloud-architected apps use automation. Good cloud architects facilitate, expand, support, and encourage automation in all cloud-based applications. A skilled cloud architect automates everything. Cloud automation drives them, and they appreciate employing it in creative ways. Source: Infoworld 🔥 Trending Stories 14 Tech Leaders Offer Their Best Pieces of Advice to New Entrepreneurs Ultimate Guide For Hiring On-demand Developers For Your Startup Top 25 Digital Transformation Influencers You Need to Follow
Oracle adds Fusion Cloud features targeted at healthcare firms
Increasing its focus on healthcare industry customers, Oracle at the company’s annual CloudWorld conference in Las Vegas announced updates for its Cloud Fusion suite aimed at meeting their financial planning, supply chain and human resources needs with healthcare-oriented features for its Supply Chain and Manufacturing (SCM), Fusion Enterprise Performance Management (EPM), and Human Capital Management (HCM) suites. Healthcare sector has become a major target for Oracle, as signaled by its $28 billion acquisition of Cerner. Oracle said it will help users make better financial, workforce, and patient care decisions via EPM. The new features will be offered as part of Oracle Fusion Cloud Enterprise Performance Management (EPM) suite. EPM suite includes planning and management capabilities for financial statements, balance sheets, and cash flow. Moreover, Oracle has added specific tools to aid healthcare firms with supply chain issues. The new capabilities will be offered as part of Oracle’s Fusion Cloud Supply Chain and Manufacturing (SCM) suite and will include a new home equipment delivery application and a new supply chain planning service. Furthermore, Oracle has launched a specialized set of tools to help healthcare providers manage their staff more efficiently. The company says the tools will help reduce burnout and costs, and deliver better patient care. Oracle ME (my experience) is part of the Fusion Cloud Human Capital Management (HCM) suite. Source: CIO 🔥 Trending Stories 14 Tech Leaders Offer Their Best Pieces of Advice to New Entrepreneurs Ultimate Guide For Hiring On-demand Developers For Your Startup Top 25 Digital Transformation Influencers You Need to Follow
Chipotle’s recipe for digital transformation: Cloud plus AI
CTO Curt Garner bolstered the fast food chain’s digital ambitions by committing fully to the cloud, laying the groundwork for future developments that would enhance the diner’s experience and the business side of things. Chipotle Mexican Grill is piloting a robotic arm dubbed “Chippy” that prepares its famed chips every day without human labor. Chipotle’s digital business in 2022 was $3.5 billion, compared to $100 million before ordering processes were implemented. The company’s wholly owned business model enabled it to deploy advanced technologies uniformly. Chipotle’s digital transformation was in place well before the pandemic, says CEO Brian Garner. Chipotle uses Microsoft Azure as its digital commerce platform, and its internal business functions like ERP have migrated from on-premises Oracle to Oracle Cloud. Chipotle has moved 98% of its workloads to the cloud, allowing it to shut down its data center in Denver and roll out a suite of next-generation, cloud-native services. Furthermore, Chipotle is utilizing many of Microsoft Azure’s cloud offerings, including the platform’s artificial intelligence (AI) and machine learning (ML) modeling services. The company also recently implemented RFID in 100 restaurants to help track its food supply from local farms to distribution centers. Chipotle’s CTO says his team is heavily reliant on the company’s cloud-based infrastructure, including a data lake built on Snowflake. Source: CIO 🔥 Trending Stories 14 Tech Leaders Offer Their Best Pieces of Advice to New Entrepreneurs Ultimate Guide For Hiring On-demand Developers For Your Startup Top 25 Digital Transformation Influencers You Need to Follow
Amazon launches virtual health service with Amazon Clinic
Amazon launches Amazon Clinic, a virtual healthcare service. The platform will provide care for non-urgent health and lifestyle needs. including hair loss, heartburn, acne and seasonal allergies. Customers can choose a preferred provider from a list of third-party licensed clinicians. Costs of the consultations will vary, though patients will be provided up-front pricing. The clinic will operate in 32 states in the U.S. Customers can follow up with the provider for up to two weeks after the initial evaluation. Source: MobiHealthNews 🔥 Trending Stories 14 Tech Leaders Offer Their Best Pieces of Advice to New Entrepreneurs Ultimate Guide For Hiring On-demand Developers For Your Startup Top 25 Digital Transformation Influencers You Need to Follow
9 out of 10 banks still use mainframes Google Cloud wants to reduce that
Today, the cloud is one of the most in-demand and rapidly evolving technologies available. It has revolutionized the way business is done and opened up new avenues for innovation across every industry sector. While most industries have or are benefiting from transitioning to the cloud, many businesses are in a dilemma about whether to make the transition to the cloud, and banks are no exception, as 9 out of 10 banks are still using mainframes, and Google intends to reduce them. Google’s new Dual Run service enables parallel processing on-premises and on the Google Cloud Platform to confirm satisfactory performance before migration. The Dual run service tackles a significant issue with mainframes: the close connection of data to the application layer and reduces migration risk by enabling partial workloads/application modules Source: Protoco 🔥 Trending Stories 14 Tech Leaders Offer Their Best Pieces of Advice to New Entrepreneurs Ultimate Guide For Hiring On-demand Developers For Your Startup Top 25 Digital Transformation Influencers You Need to Follow
Microsoft, Sophia Genetics team up to pursue data-driven medicine
Microsoft and Sophia Genetics are teaming up to pursue data-driven medicine. The partnership aims to enhance data interoperability and drive a global transition to precision medicine. The effort will focus on developing and deploying next-generation healthcare tools. They aim to equalize data across silos, improve clinical workflows and elevate standards of care. Using Microsoft Azure services, the data display module of Sophia Genetics provides AI and machine learning capabilities. Sophia DDM’s multimodal AI and machine learning platform analyzes clinical, biological, genomes, and radiomics data, and in the future could provide insights for digital pathology, proteomics, and metabolomics. The healthcare SaaS company provides data insights to support discoveries, treatment decisions and drug development efforts. The company’s mission is to “democratize data-driven medicine,” says Dr. David C. Rhew, The global chief medical officer for Microsoft. Source: Healthcare IT News 🔥 Trending Stories 14 Tech Leaders Offer Their Best Pieces of Advice to New Entrepreneurs Ultimate Guide For Hiring On-demand Developers For Your Startup Top 25 Digital Transformation Influencers You Need to Follow
The recent shut down of Amazon Care
Healthcare is too big of an industry to disrupt, and Amazon’s ambitious project Amazon Care piloted as a primary care service for its employees that blended telehealth and in-person medical services, is closing its operations after December 31, 2022. This article is an opinion piece that offers its perspective on the closure of the Amazon care service. Where the author says that, “I think that this is only the beginning rather than the end. Either Amazon or other challenger(s) will rise to upend existing incumbents” in regards to the question will the current US healthcare system change. Furthermore, it goes on to explain how the failure leads to an increase in iteration rate and higher iteration rate offers greater chances of success. Author believes that Amazon with its $ 1.3 trillion dollars in market capital, management, talent, experience, and leadership will eventually win out in the healthcare landscape. Source: Kevin MD 🔥 Trending Stories 14 Tech Leaders Offer Their Best Pieces of Advice to New Entrepreneurs Ultimate Guide For Hiring On-demand Developers For Your Startup Top 25 Digital Transformation Influencers You Need to Follow
Here are 6 recent healthcare moves from Google
Google continues to expand its presence in the healthcare. Becker’s has highlighted six healthcare moves from Google recently. Google has partnered with health systems on data-powered projects to improve health equity, patient flow and value-based care. The so-called healthcare data engine accelerators seek to improve data collection and analysis of socioeconomic determinants of health; to supply patient flow metrics to aid in the elimination of bottlenecks; and to combine claims and clinical data in order to determine population health indicators. Sound Life Sciences, a spinoff of the University of Washington that developed a breathing-monitoring application, was acquired by Google. The company entered into an agreement with EHR vendor Epic to enable health systems to migrate their EHRs to the cloud. The tech giant has partnered with COTA to make sense of unstructured data from electronic health records. Google also entered into an agreement with Epic to enable health systems to migrate their EHRs to the cloud. Meditech and Google Health are teaming up for a clinical search tool. The tool embeds Google Health’s search and summarization capabilities within Meditech’s EHR system. It creates a longitudinal view of a patient’s health history directly within the clinical workflow. Google, Highmark Health and League are forming a new digital health platform. It will help members with scheduling appointments, managing prescription drugs and other services. Source: Beckers Hospital Review 🔥 Trending Stories 14 Tech Leaders Offer Their Best Pieces of Advice to New Entrepreneurs Ultimate Guide For Hiring On-demand Developers For Your Startup Top 25 Digital Transformation Influencers You Need to Follow